一种基于遗传算法的新的模糊控制器优化方法

Abstract

中文文摘：通过分析对模糊控制器优化的原理,提出一种新的优化设计方法,通过引入等比因子,实现用三个参数调整输入、输出语言 变量的隶属函数,再通过遗传算法寻优包括量化和比例因子在内的这些参数,使得性能指标最大,从而使设计出的模糊控制 器性能更优。仿真结果表明,本文方法简单,有效。 英文文摘：A new optimization method for fuzzy controller design is proposed. The membership functions of input and output variables are defined by three parameters , called geometric proportional factors , adding with the scaling factors , which are adjusted to maximize the performance in2 dex by using the Genetic Algorithm. Therefore the fuzzy controller is designed to be more capability. The simulation result shows that this optimization method is simple and effective.